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Read full article about: Cursor's valuation has almost tripled in the last five months following a major funding round

Anysphere, the company behind the widely used AI code editor Cursor, has raised $2.3 billion in a Series D round, pushing its valuation to $29.3 billion. That's nearly three times what the company was worth after its last round in June, when it brought in over $900 million. The funding comes on the heels of Cursor 2.0, a major update that leans further into autonomous AI agents and debuts Anysphere's own coding model, moving beyond simply integrating models from OpenAI, Anthropic, and others.

Big-name investors, including Accel and Andreessen Horowitz, returned for this round, with new backers like Nvidia and Google joining in. Cursor reportedly brings in more than $1 billion in annual revenue and now employs over 300 people. Despite its rapid growth, Anysphere says it has no plans to go public. While AI coding tools like Cursor are catching on in the enterprise world, recent studies suggest that gains in productivity are modest and developers remain wary of trusting AI-generated code.

Read full article about: Google releases updated version of Gemini Live

Gemini Live gets its biggest update yet. Google says its voice-based AI is now faster, more expressive, and capable of speaking with different accents. Users can also control the speed of its replies. The new update is also said to improve language learning and pronunciation practice.

The company first teased the update back in August during its Made by Google event.

Read full article about: Google introduces Private AI Compute to protect user data during AI inference

Google is introducing a cloud-based system called Private AI Compute designed to protect user data during AI processing. Jay Yagnik, Google's Vice President of AI Innovation, said the technology runs tasks inside an isolated environment that no one - not even Google - can access.

The system uses Google's own TPUs along with Titanium Intelligence Enclaves for encrypted data handling, building on the company’s existing privacy and security framework.

Early applications appear on Pixel devices, including Magic Cue and the Recorder app, which now supports more languages. The goal is to let Gemini models deliver their full performance without exposing personal data. Google has also published a technical brief outlining the system's architecture and privacy safeguards.